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Campus Lead – GPU Infrastructure Delivery

  • Helsinki, Finland
  • Permanent
  • AI & GPU Infrastructure
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We are looking for an experienced Campus Lead to oversee the delivery of advanced GPU and AI infrastructure within a large-scale data centre environment.

The successful candidate will take ownership of infrastructure delivery, coordinating engineering, MEP, GPU deployment, networking and commissioning activities to ensure fully integrated, operationally ready environments.

This role requires a strong technical understanding of mission-critical infrastructure, combined with proven programme and stakeholder management experience.

Key Responsibilities

  • Lead GPU infrastructure delivery from data centre readiness through to deployment and operational handover.

  • Coordinate MEP, power, cooling, GPU hardware, rack integration and network connectivity.

  • Manage contractors, vendors and technical stakeholders across programme, budget, risk and quality.

  • Oversee technical commissioning, testing and infrastructure readiness.

  • Ensure infrastructure supports high-density GPU deployments and demanding AI workloads.

  • Coordinate multidisciplinary engineering and delivery teams.

  • Support operational readiness and the integration of GPU infrastructure into service delivery environments.

Requirements

  • Proven experience delivering large-scale GPU, AI infrastructure, HPC or hyperscale data centre projects.

  • Strong understanding of MEP systems, power distribution and advanced cooling technologies.

  • Experience with GPU hardware deployment, rack integration and high-performance networking.

  • Understanding of data centre commissioning and operational readiness.

  • Experience managing complex programmes, budgets, vendors and multidisciplinary teams.

  • Knowledge of GPU-as-a-Service (GPUaaS) or Rack-as-a-Service (RaaS) environments.

  • Familiarity with NVIDIA GPU platforms and associated infrastructure technologies.

Preferred Experience

  • Experience with NVIDIA DGX, HGX or Blackwell GPU platforms.

  • Exposure to InfiniBand and high-speed Ethernet networking.

  • Experience delivering high-density AI and HPC infrastructure.

  • Knowledge of reliability, availability and serviceability (RAS) principles.